Job Description
Job DescriptionJob Title: Research Scientist
Location: Lexington, MA
Duration: 18 months+
Pay Rate:$52.84/hr. on w2
Job Summary:
TOP SKILL PER MGR (in addition to excellent communication skills):
- Patient endotype discovery using unsupervised/supervised ML approaches
- Omics analysis (primarily proteomics, Olink, Soma, LC-MS) incl differential expression, clinical characterisation, clinical outcomes and pathway analyses
- Experience w/clinical data with major human cohort data
Job Description:
The Position-
- We are seeking a highly motivated Research Scientist to play a key role in supporting our Therapeutic Areas (TA) in their efforts to better characterise patients/diseases in a real-world context.
- Focused initially on initially on Type 2 Diabetes (T2D) or Obesity, you will be responsible for
- using patient-derived molecular and phenotypic data to identify treatment-relevant disease subgroups,
- integrating diverse features from clinical trials and externally sourced patient cohorts to define Client endotypes and provide real-world context to our Client drug targets, and
- utilise modern machine-learning (ML) methods to derive and communicate insights to non-expert stakeholders in a clear and meaningful way.
In this role you will:
- Develop and apply advanced but explainable AI/ML methods and statistical models to cardiovascular disease
- Collaborate with cross-functional teams across EVP areas to identify and validate new endotypes, biomarkers, and drug targets
- Analyse large patient-derived molecular and phenotypic datasets, to identify patterns and trends that can inform future target discovery and development
- Present findings with clarity and objectivity in internal presentations and publications in scientific journals.
Qualifications:
- Master's degree in Bioinformatics, Computational Biology, Computer Science / Machine Learning, Genomics, or related field (PhD candidates will be considered w/min of 1 yr prof exp)
- 3+ years working/professional experience
Our ideal candidate meets the following criteria:
- Has proven track record of delivering cohort analyses and clear interpretation of insights derived from machine learning
- Has strong knowledge of machine learning algorithms and their application to biomedical data
- Has experience with programming languages such as Python or R, version control, and high-performance computing
- Has excellent communication and collaboration skills
- Has the ability to work independently and drive projects forward
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